RESEARCH FELLOW

at  University of Michigan

Ann Arbor, MI 48109, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate28 Jul, 2024Not Specified02 May, 20242 year(s) or aboveAws,Statistical Inference,Web Applications,Software Design,Cancer Research,Laboratory Techniques,Timelines,System Administration,Cloud Computing,Human Genetics,3D,Cancer Biology,Biochemistry,Java,Python,Relational Databases,Molecular Biology,RNoNo
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Description:

HOW TO APPLY

A cover letter is required for consideration for this position and should be attached as the first page of your curriculum vitae. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.

SUMMARY

The lab is seeking an energetic, self-driven, well-trained, and productive scientist to join a dynamic group and make a difference in the understanding of prostate and kidney cancer biology using a variety of molecular profiling platforms including next generation sequencing, single cell sequencing, spatial techniques, organoids development, and evolving novel platforms amongst others.
The successful candidate should be comfortable analyzing large data sets, have experience in software development, and possess strong interpersonal and communication skills. The ideal candidate will use their molecular biology and computational skills, as well as creativity to help us understand complex genomic data sets. Proficiency in utilizing and integrating data from an array of public resources such as ENCODE, TCGA or COSMIC and ability to synthesize and present conclusions from complex analyses in a clear and visually compelling way will be paramount for this role. Salary and job title will be commensurate with qualifications and experience.

REQUIRED QUALIFICATIONS*

  • Ph.D. degree in cancer biology, molecular biology, bioinformatics, human genetics, or a related field with appropriate experience in cancer research.
  • Experience in next generation sequencing (NGS)-based, single cell, and/or spatial data experiments and analysis.
  • 2 - 5 years of work experience preferred but not required. Post-doctoral fellowship candidates are invited to apply.
  • Substantial expertise in one or more of Python, Perl, R, Java, or Javascript as demonstrated by the ability to develop high-quality scientific programs.
  • The successful candidate must be well read, organized and able to multitask, fluent in written and spoken English, be an independent thinker and team player in a fast-paced environment.

DESIRED QUALIFICATIONS*

  • Working knowledge of laboratory techniques in molecular biology, cell biology, biochemistry, and genetics.
  • Experience with standard bioinformatics software tools and packages for analyzing whole-exome, whole-genome, whole-transcriptome, or targeted DNA/RNA sequencing data e.g. GATK suite, Ion Torrent Suite platform, R/Bioconductor.
  • Experience working with various model systems: 2D, 3D (e.g. organoids), animal models etc.
  • Experience in development of dynamic and/or publication-quality data visualizations to synthesize sequencing-based analysis results e.g.,Rshiny, d3, plotly, ggplot2.
  • A solid understanding of statistics and experience in the implementation of machine learning and statistical inference algorithms.
  • Experience building web applications, web services, and user interfaces using standard software development tools: relational databases, version control systems, front-end Javascript.
  • Experience in working on Unix/Linux systems (shell scripting, basic system administration).
  • Experience in cloud computing (GCE or AWS).
  • Experience in software design.
  • Experience with Adobe Suite.
  • A strong publication record.
  • The successful candidate will be able to prioritize and balance multiple projects to meet timelines.

Responsibilities:

Please refer the Job description for details


REQUIREMENT SUMMARY

Min:2.0Max:5.0 year(s)

Information Technology/IT

IT Software - Application Programming / Maintenance

Software Engineering

Graduate

Cancer research

Proficient

1

Ann Arbor, MI 48109, USA